solution to system of equations

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In a system of equations AX = B.
by Cramer's rule if det(A)=0, then the system will have no solution but on the other hand, in non-homogeneous system of equations suppose the rank of square matrix nxn is (n-1) and rank of the augmented matrix[A|B] is also having the same rank but then we say that system is consistent, having rank < no. of variables implies infinitely many solutions.



how is this correct?
I mean if the rank of A is n-1 < n and rank(A) = rank(A|B), then it also implies that determinant of square matrix nxn is zero but then we say it is consistent.



pls correct me if my theory is wrong too.







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    up vote
    2
    down vote

    favorite












    In a system of equations AX = B.
    by Cramer's rule if det(A)=0, then the system will have no solution but on the other hand, in non-homogeneous system of equations suppose the rank of square matrix nxn is (n-1) and rank of the augmented matrix[A|B] is also having the same rank but then we say that system is consistent, having rank < no. of variables implies infinitely many solutions.



    how is this correct?
    I mean if the rank of A is n-1 < n and rank(A) = rank(A|B), then it also implies that determinant of square matrix nxn is zero but then we say it is consistent.



    pls correct me if my theory is wrong too.







    share|cite|improve this question
























      up vote
      2
      down vote

      favorite









      up vote
      2
      down vote

      favorite











      In a system of equations AX = B.
      by Cramer's rule if det(A)=0, then the system will have no solution but on the other hand, in non-homogeneous system of equations suppose the rank of square matrix nxn is (n-1) and rank of the augmented matrix[A|B] is also having the same rank but then we say that system is consistent, having rank < no. of variables implies infinitely many solutions.



      how is this correct?
      I mean if the rank of A is n-1 < n and rank(A) = rank(A|B), then it also implies that determinant of square matrix nxn is zero but then we say it is consistent.



      pls correct me if my theory is wrong too.







      share|cite|improve this question














      In a system of equations AX = B.
      by Cramer's rule if det(A)=0, then the system will have no solution but on the other hand, in non-homogeneous system of equations suppose the rank of square matrix nxn is (n-1) and rank of the augmented matrix[A|B] is also having the same rank but then we say that system is consistent, having rank < no. of variables implies infinitely many solutions.



      how is this correct?
      I mean if the rank of A is n-1 < n and rank(A) = rank(A|B), then it also implies that determinant of square matrix nxn is zero but then we say it is consistent.



      pls correct me if my theory is wrong too.









      share|cite|improve this question













      share|cite|improve this question




      share|cite|improve this question








      edited Aug 15 at 12:43









      Harry Peter

      5,49311438




      5,49311438










      asked Aug 10 at 5:12









      ashwani yadav

      234




      234




















          2 Answers
          2






          active

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          up vote
          3
          down vote



          accepted










          Cramer rule doesn't says that when determinant is zero, it has no solution. When the determinant is zero, the system can either have no solution (inconsistent) or infinitely many solutions (consistent).



          Cramer rule gives us a way to compute the solution when the solution is unique.






          share|cite|improve this answer




















          • thanks , doing a question got mistaken somewhere
            – ashwani yadav
            Aug 10 at 5:19

















          up vote
          3
          down vote













          For the system of two equations:



          $ax+by=c$ and $Ax+By=C$



          compute $D=beginvmatrixa&b\A&Bendvmatrix$, $D_x=beginvmatrixc&b\C&Bendvmatrix$ and $D_y=beginvmatrixa&c\A&Cendvmatrix$. Now you have two cases:



          1. If $Dne 0$ then the unique solution is $x=fracD_xD$ and $y=fracD_yD$.

          2. If $D=0$ then Cramer's rule fails to give the solution (if it exists).





          share|cite|improve this answer






















          • Since when could you divide matrices?
            – Chase Ryan Taylor
            Aug 10 at 6:12










          • Oh sorry! I used wrong brackets for determinats.
            – Mathlover
            Aug 10 at 6:13










          • $ddotsmile$
            – Chase Ryan Taylor
            Aug 10 at 6:14










          • Edited it @Chase Ryan Taylor. Thanks a lot!
            – Mathlover
            Aug 10 at 6:15










          Your Answer




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          2 Answers
          2






          active

          oldest

          votes








          2 Answers
          2






          active

          oldest

          votes









          active

          oldest

          votes






          active

          oldest

          votes








          up vote
          3
          down vote



          accepted










          Cramer rule doesn't says that when determinant is zero, it has no solution. When the determinant is zero, the system can either have no solution (inconsistent) or infinitely many solutions (consistent).



          Cramer rule gives us a way to compute the solution when the solution is unique.






          share|cite|improve this answer




















          • thanks , doing a question got mistaken somewhere
            – ashwani yadav
            Aug 10 at 5:19














          up vote
          3
          down vote



          accepted










          Cramer rule doesn't says that when determinant is zero, it has no solution. When the determinant is zero, the system can either have no solution (inconsistent) or infinitely many solutions (consistent).



          Cramer rule gives us a way to compute the solution when the solution is unique.






          share|cite|improve this answer




















          • thanks , doing a question got mistaken somewhere
            – ashwani yadav
            Aug 10 at 5:19












          up vote
          3
          down vote



          accepted







          up vote
          3
          down vote



          accepted






          Cramer rule doesn't says that when determinant is zero, it has no solution. When the determinant is zero, the system can either have no solution (inconsistent) or infinitely many solutions (consistent).



          Cramer rule gives us a way to compute the solution when the solution is unique.






          share|cite|improve this answer












          Cramer rule doesn't says that when determinant is zero, it has no solution. When the determinant is zero, the system can either have no solution (inconsistent) or infinitely many solutions (consistent).



          Cramer rule gives us a way to compute the solution when the solution is unique.







          share|cite|improve this answer












          share|cite|improve this answer



          share|cite|improve this answer










          answered Aug 10 at 5:13









          Siong Thye Goh

          80.5k1453101




          80.5k1453101











          • thanks , doing a question got mistaken somewhere
            – ashwani yadav
            Aug 10 at 5:19
















          • thanks , doing a question got mistaken somewhere
            – ashwani yadav
            Aug 10 at 5:19















          thanks , doing a question got mistaken somewhere
          – ashwani yadav
          Aug 10 at 5:19




          thanks , doing a question got mistaken somewhere
          – ashwani yadav
          Aug 10 at 5:19










          up vote
          3
          down vote













          For the system of two equations:



          $ax+by=c$ and $Ax+By=C$



          compute $D=beginvmatrixa&b\A&Bendvmatrix$, $D_x=beginvmatrixc&b\C&Bendvmatrix$ and $D_y=beginvmatrixa&c\A&Cendvmatrix$. Now you have two cases:



          1. If $Dne 0$ then the unique solution is $x=fracD_xD$ and $y=fracD_yD$.

          2. If $D=0$ then Cramer's rule fails to give the solution (if it exists).





          share|cite|improve this answer






















          • Since when could you divide matrices?
            – Chase Ryan Taylor
            Aug 10 at 6:12










          • Oh sorry! I used wrong brackets for determinats.
            – Mathlover
            Aug 10 at 6:13










          • $ddotsmile$
            – Chase Ryan Taylor
            Aug 10 at 6:14










          • Edited it @Chase Ryan Taylor. Thanks a lot!
            – Mathlover
            Aug 10 at 6:15














          up vote
          3
          down vote













          For the system of two equations:



          $ax+by=c$ and $Ax+By=C$



          compute $D=beginvmatrixa&b\A&Bendvmatrix$, $D_x=beginvmatrixc&b\C&Bendvmatrix$ and $D_y=beginvmatrixa&c\A&Cendvmatrix$. Now you have two cases:



          1. If $Dne 0$ then the unique solution is $x=fracD_xD$ and $y=fracD_yD$.

          2. If $D=0$ then Cramer's rule fails to give the solution (if it exists).





          share|cite|improve this answer






















          • Since when could you divide matrices?
            – Chase Ryan Taylor
            Aug 10 at 6:12










          • Oh sorry! I used wrong brackets for determinats.
            – Mathlover
            Aug 10 at 6:13










          • $ddotsmile$
            – Chase Ryan Taylor
            Aug 10 at 6:14










          • Edited it @Chase Ryan Taylor. Thanks a lot!
            – Mathlover
            Aug 10 at 6:15












          up vote
          3
          down vote










          up vote
          3
          down vote









          For the system of two equations:



          $ax+by=c$ and $Ax+By=C$



          compute $D=beginvmatrixa&b\A&Bendvmatrix$, $D_x=beginvmatrixc&b\C&Bendvmatrix$ and $D_y=beginvmatrixa&c\A&Cendvmatrix$. Now you have two cases:



          1. If $Dne 0$ then the unique solution is $x=fracD_xD$ and $y=fracD_yD$.

          2. If $D=0$ then Cramer's rule fails to give the solution (if it exists).





          share|cite|improve this answer














          For the system of two equations:



          $ax+by=c$ and $Ax+By=C$



          compute $D=beginvmatrixa&b\A&Bendvmatrix$, $D_x=beginvmatrixc&b\C&Bendvmatrix$ and $D_y=beginvmatrixa&c\A&Cendvmatrix$. Now you have two cases:



          1. If $Dne 0$ then the unique solution is $x=fracD_xD$ and $y=fracD_yD$.

          2. If $D=0$ then Cramer's rule fails to give the solution (if it exists).






          share|cite|improve this answer














          share|cite|improve this answer



          share|cite|improve this answer








          edited Aug 10 at 6:14

























          answered Aug 10 at 6:03









          Mathlover

          3,5681021




          3,5681021











          • Since when could you divide matrices?
            – Chase Ryan Taylor
            Aug 10 at 6:12










          • Oh sorry! I used wrong brackets for determinats.
            – Mathlover
            Aug 10 at 6:13










          • $ddotsmile$
            – Chase Ryan Taylor
            Aug 10 at 6:14










          • Edited it @Chase Ryan Taylor. Thanks a lot!
            – Mathlover
            Aug 10 at 6:15
















          • Since when could you divide matrices?
            – Chase Ryan Taylor
            Aug 10 at 6:12










          • Oh sorry! I used wrong brackets for determinats.
            – Mathlover
            Aug 10 at 6:13










          • $ddotsmile$
            – Chase Ryan Taylor
            Aug 10 at 6:14










          • Edited it @Chase Ryan Taylor. Thanks a lot!
            – Mathlover
            Aug 10 at 6:15















          Since when could you divide matrices?
          – Chase Ryan Taylor
          Aug 10 at 6:12




          Since when could you divide matrices?
          – Chase Ryan Taylor
          Aug 10 at 6:12












          Oh sorry! I used wrong brackets for determinats.
          – Mathlover
          Aug 10 at 6:13




          Oh sorry! I used wrong brackets for determinats.
          – Mathlover
          Aug 10 at 6:13












          $ddotsmile$
          – Chase Ryan Taylor
          Aug 10 at 6:14




          $ddotsmile$
          – Chase Ryan Taylor
          Aug 10 at 6:14












          Edited it @Chase Ryan Taylor. Thanks a lot!
          – Mathlover
          Aug 10 at 6:15




          Edited it @Chase Ryan Taylor. Thanks a lot!
          – Mathlover
          Aug 10 at 6:15

















           

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